Hi
How could I select the rows of a dataset that have the maximum value in
one variable and to do this nested in another variable. It is a
dataframe
in long format with repeated measures per subject.
I was not successful using aggregate, because one of the columns has
You could do it
Hello,
Here's a solution using aggregate and merge. I've kept it in two steps
for clarity.
d - read.table(text=
subjecttime.ms V3
1 1 stringA
1 12 stringB
1 22 stringC
2 1stringB
2 14 stringC
2 25 stringA
, header=TRUE)
ag -
HI,
Try this:
dat1 - read.table(text=
subject time.ms V3
1 1 stringA
1 12 stringB
1 22 stringC
2 1 stringB
2 14 stringC
2 25 stringA
, sep=,header=TRUE)
dat2-aggregate(dat1$time.ms,list(dat1$subject),max)
colnames(dat2)-c(subject,time.ms)
How could I select the rows of a dataset that have the maximum value in one
variable and to do this nested in another variable. It is a dataframe in long
format with repeated measures per subject.
I was not successful using aggregate, because one of the columns has character
values (and/or
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